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Quantitative Research Analyst
Quantitative Research AnalystNasdaq • Pennsylvania, Philadelphia, USA
Quantitative Research Analyst

Quantitative Research Analyst

Nasdaq • Pennsylvania, Philadelphia, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

The Index Product Intelligence team is responsible for supporting various stakeholders in the broader index business in creation of new financial products and help drive overall growth in assets of Nasdaq index tracking products. As a member of the Nasdaq Index Product Intelligence team, will be responsible for providing market intelligence about ETF and MF industry to various members of the Index business : product development, sales, research and marketing teams.

The Quantitative Research Analyst will be a part of the Index Product Intelligence team based in Philadelphia supporting the product development, sales, research and marketing team in the index business.

Primary Responsibilities :

  • Interested in and passion for index tracking investment vehicles, particularly in exchange traded funds (ETFs) and Mutual Funds (MFs).
  • Assist PI team develop research into the current ETF market environment by providing insights into the current market state by analyzing industry data on a regular basis.
  • Support business unit strategy and provide additional external content to help our clients and position Nasdaq Index as a thought leader in the ETF space.
  • Prepare and present standard and customized research reports including comparative market commentary, cashflow and product performance analyses, and other reports.
  • Prior experience within the asset management industry or analytical role in financial services is preferrable.

The Level of Experience We Expect :

  • Commensurate experience (1-2 years) and degree qualified in Mathematics, Economics, Finance or related subject area.
  • BSc / MSc in a Computer Science, Mathematics, Engineering, or a related discipline.
  • The Technical Skills We Expect :

  • Proficient in Python / R / SQL and prior experience working in Databricks.
  • Proficient in BI tools (Power BI, Tableau) is a plus.
  • Strong writing and analytical skills with sharp attention to detail.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  • The non-Technical Skills We Expect :

  • Ability to listening to internal stakeholders, understand their objectives, and providing thoughtful and innovative solutions to them.
  • Self-motivated and able to work independently as well as part of a team, requiring minimal direction and follow-up
  • Come as You Are

    Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and / or expression, veteran status, genetic information, or any other status protected by applicable law.

    We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

    What We Offer

    We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

    In addition to base salary, Nasdaq offers significant other compensation (annual bonus / commissions and equity), benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to : skill set, experience, education / training, business needs and market demands.

    Nasdaq’s programs and rewards are intended to allow our employees to :

  • Secure Wealth : 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
  • Prioritize Health : Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
  • Care for Family : Hybrid home / office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
  • Connect with Community : Company gift matching program, Employee resource groups, Paid volunteer days
  • Grow Career : Education Assistance Program, Robust job skills training and Professional development opportunities
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